Agents and Artificial Intelligence

Agents.- Bees, Bats and Glowworms: Swarm Algorithms for Optimizing Industrial Plants from the Bottom-Up.- Estimating the Spread of COVID-19 Due to Transportation Networks Using Agent-Based Modeling.- Dealing with the Unpredictability of Physical Resources in Real-World Multi-Agent Systems.- Coalition Alternating-Time Temporal Logic: A Logic to Find Good Coalitions to Achieve Strategic Objectives.- Holonic Energy Management Systems: Towards Flexible and Resilient Smart Grids.- Artificial Intelligence.- Predictive Explanations for and by Reinforcement Learning.- Effects of Feature Types on Donor Journey.- Data-Efficient Offline Reinforcement Learning with Approximate Symmetries.- Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups.- Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stacking.- Study on LSTM and ConvLSTM Memory-Based Deep Reinforcement Learning.- Spatial Representation and Reasoning About Fold Strata: A Qualitative Approach.- Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments.- Weight Re-Mapping for Variational Quantum Algorithms.- Effective Adaptive Strategy Selection Using Extended Fine-Tuning and CNN-Based Surrogate Model in Repeated-Encounter Bilateral Automated Negotiation.- A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks.- UTP: A Unified Term Presentation Tool For Clinical Textual Data Using Pattern-Matching Rules and Dictionary-Based Ontologies.- Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing.- Exploring Narrative Economics: An Agent-Based Co-Evolutionary Model Featuring Nonlinear Continuous-Time Opinion Dynamics.- GaSUME: A